188 results about "Heat transfer model" patented technology

The invention provides a lithium ion battery core temperature prediction method based on a finite element model, and the method comprises the following steps: 1, designing an electrochemical test experiment, and constructing a one-dimensional electrochemical model containing a lithium ion battery electrochemical heat production mechanism; 2, designing a lithium ion battery temperature test experiment, obtaining electrochemical parameters, heat transfer characteristic parameters, internal thermophysical parameters and environmental parameters of the battery under different working conditions, and obtaining a temperature change curve of the center position and the surface of the battery; and step 3, based on the heat balance equation, establishing a three-dimensional heat transfer model having the same geometric characteristics as the battery used in the experiment. According to the experimental result in the step 2, the three-dimensional heat transfer model is subjected to non-uniform region division, each region corresponds to one one-dimensional electrochemical model, and the heat production rate per unit volume is calculated by the one-dimensional electrochemical model in the step 1; introducing the heat production rate of each area into a three-dimensional heat transfer model to calculate the temperature distribution of the battery, and designing an experiment to correct a one-dimensional electrochemical model; 4, modifying the operation conditions and heat dissipation conditions of the battery, and calculating and analyzing the temperature difference delta T between the center position and the surface position of the battery under different operation conditions and heat dissipation conditions by using the three-dimensional heat transfer model in the step 3; and 5, measuring the surface temperature of the battery, and calculating the temperature of the center of the battery according to the working condition of the battery in the step 4 and the delta T corresponding to the environment temperature, thereby realizing monitoring of the temperature of the center position of the battery. According to the method, a high-precision algorithm model is constructed and verified by utilizing data accumulated in an earlier-stage experiment, the central point temperature which is difficult to directly measure in the battery is predicted only through real-time and easily-acquired battery surface temperature information, operation condition parameters and heat dissipation conditions, key thermal state information is provided for a battery management system, and the battery management efficiency is improved. The method is used for real-time safety monitoring and thermal management optimization.

The invention relates to the technical field of infrared thermal imaging, in particular to a human body analysis method and system based on an infrared thermal image. The method comprises the following steps: acquiring an infrared thermal image sequence of a limb to be detected in a thermal relaxation process; segmenting the image sequence, constructing a topological center line of an effective contour, and defining a heat flow reference direction based on the geometric width change of a cross section along the center line; a temperature gradient vector field is calculated, and an area with the gradient direction and the heat flow reference direction in reverse distribution and containing a closed isotherm is screened out to serve as a thermal topology abnormal area; establishing a biological heat transfer model taking the surface temperature as a boundary condition, performing inverse solution on the thermal topology abnormal region, and performing inverse calculation on a heat source parameter corresponding to the subcutaneous depth; and when the heat source parameter exceeds a threshold value, generating a damage early warning. According to the method, by quantifying metabolic heat abnormality caused by inflammation in tissues, accurate positioning and quantitative evaluation of deep injury of limbs are realized, and the accuracy of human injury detection is remarkably improved.

The invention relates to the technical field of intelligent construction of road engineering, and discloses an expressway asphalt pavement construction data analysis and processing system, the system performs digital modeling on an asphalt mixture and anchors the asphalt mixture to a pavement three-dimensional coordinate by creating a material state vector including a static attribute, a dynamic state and a process resume, and the system adopts a heat transfer model to construct an asphalt pavement construction data analysis and processing system. And the predicted temperature of the target vector at the future interception moment of the road roller is updated in real time and forwards simulated. Meanwhile, the system calculates a dynamic compactability window according to the compaction history and the material type, compares the predicted temperature with the window, generates a feedforward control instruction of a standard, priority or waiting operation, converts the feedforward control instruction into visual guidance, and issues the visual guidance to the vehicle-mounted terminal, so that prospective control is realized. According to the invention, the conversion of construction control from passive lag to active feedforward is realized, the fineness of the compaction process is improved, and a reliable digital quality tracing mechanism is established.

The present invention relates to the technical field of electrodeposition, and relates to a simulation method for flow field distribution and deposition morphology in ultrafast laser-assisted electrochemical deposition. The steps of the method comprise: constructing, in multiphysics simulation software, a two-dimensional axisymmetric multiphysics coupled field model for heat transfer, solid and fluid heat transfer, tertiary current distribution, and laminar flow; constructing a geometric model of a deposition cell and a substrate, and setting laser properties, material physical parameters, and electrodeposition properties in the multiphysics simulation software; constructing an ultrafast laser heat transfer model on the basis of a two-temperature equation; setting initial and boundary conditions of the ultrafast laser heat transfer model, and constructing an electrodeposition field; coupling the ultrafast laser heat transfer model with the electrodeposition field to construct an ultrafast laser-assisted electrochemical deposition model; delineating a grid; and performing calculation and analysis. In the present invention, ultrafast laser is incorporated to perform multiphysics coupling of a thermal field, a flow field, an electric field, etc., and a two-temperature equation and tertiary current distribution are incorporated to the model, thereby achieving the accuracy and comprehensiveness of prediction models.

The invention discloses an optimization method of a ground source heat pump, electronic equipment and a program product, and the method comprises the steps: collecting the operation data and environment data of a ground source heat pump system in real time through an edge computing gateway deployed on site; constructing a multi-objective optimization model of the ground source heat pump system on the cloud server; solving the optimization model by adopting a self-adaptive multi-target genetic algorithm, and outputting a Pareto optimal solution set; selecting a final execution scheme from the Pareto optimal solution set according to a preset decision preference weight, generating a control instruction, and issuing the control instruction to the field executor through the edge computing gateway; the soil temperature field evolution is predicted through the buried pipe heat transfer model, and a prediction result is fed back to the optimization model and used for correcting the soil heat balance objective function, and long-term dynamic optimization is achieved. According to the method, collaborative optimization of economy, environmental protection and sustainability can be realized by constructing the multi-objective optimization model fusing the operation cost, the soil heat balance and the carbon emission.

The invention discloses an explanation method for damage threshold improvement of a fused quartz material in a femtosecond laser processing / welding process. By establishing a fused quartz electron-lattice heat transfer model under femtosecond laser irradiation, a dissociation model of environment molecules and interstitial molecules under the action of femtosecond laser and a defect-containing fused quartz molecule dynamic reaction model based on a ReaxFF reaction force field, atomic structure changes in a system before and after a reaction are analyzed; and finally, obtaining a chemical reaction mechanism of the fused quartz containing the defects under the action of the femtosecond laser, and explaining the phenomenon that the damage threshold of the fused quartz is increased after the fused quartz is irradiated by the low-flux femtosecond laser. According to the method, the research in the current fused quartz femtosecond laser processing / welding process is perfected, and meanwhile, the theoretical blank that the damage threshold lifting mechanism is not clear in the fused quartz glass femtosecond laser processing / welding process is filled up.

The invention relates to the technical field of solid oxide fuel cells, and discloses a construction method of a solid oxide fuel cell multi-physical field bidirectional strong coupling simulation model and a computer program product. The method comprises the following steps: respectively constructing an electrochemical model, a positive / negative electrode fluid flow model and a heat transfer model of the solid oxide fuel cell based on an established geometric structure model; solving equations of the physical fields in all the models are combined to form a full coupling matrix, and iterative solving is carried out according to a set initial value; and judging whether the constructed model is converged or not according to an iterative solution result. According to the model constructed by the method, the mutual influence among electrochemistry, flow and heat transfer processes is fully considered, and synchronous solving is performed through a unified matrix system, so that real-time interaction and collaborative updating among multiple physical fields are realized, and the convergence efficiency and numerical stability of a nonlinear coupling problem are remarkably improved; through inspection, the deviation between a simulation result and actually measured data is less than 8%, and the method has high engineering practical value.

The invention belongs to the technical field of ground source heat operation management, and particularly discloses an intelligent operation management system for geothermal energy in a severe cold area. The system comprises an acquired data verification module, a soil dynamic analysis module, a thermal imbalance risk prediction module and a control priority determination module. According to the method, geothermal operation data are collected and verified in real time, key indexes such as heating power, soil accumulated heat taking capacity and heat recovery rate are calculated, meteorological prediction data are combined to drive a soil heat transfer model to conduct prospective simulation, and a heat imbalance risk index is output. And the control priority of the heat supply quality and the soil heat imbalance is dynamically determined and output based on the risk index and the change trend thereof, so that the heat recovery capability of the soil is effectively maintained while the heat supply requirement is met, and meanwhile, the priority management direction between the heat supply quality guarantee and the soil heat imbalance prevention and control is defined; and therefore, effective balance is realized between maintaining the heating demand of the user and protecting the sustainability of terrestrial heat.

The invention discloses an external clamping type flow sensor medium temperature calculation method, and relates to the technical field of testing and metering, and the method comprises the steps: obtaining the outer wall temperature measurement values of two sensors through a temperature collection device; by means of double-temperature-probe averaging treatment, accidental errors of single-point measurement are effectively reduced, three heat transfer mechanisms of heat transfer, solid heat conduction and convection-radiation combined heat dissipation are constructed, a fluid dynamic criterion is introduced to accurately calculate a convection heat transfer coefficient, quantitative heat transfer models outside and inside the tube are constructed, and the heat transfer efficiency is improved. By introducing an empirical formula dynamically coupled with the environment wind speed and a fluid mechanics criterion correlation formula based on the Reynolds number criterion, scene self-adaption accurate calculation of the key heat exchange coefficient is achieved, iterative correction of fluid physical property parameters is combined, and through iterative calculation and real-time correction of the physical property parameters, the real-time correction of the fluid physical property parameters is achieved. A three-layer progressive error correction system of dynamic time correction, scene database correction and multi-dimensional anti-interference correction is established, and high precision and high reliability of temperature calculation are achieved.

The invention relates to the technical field of automatic control, and discloses a multi-parameter collaborative intelligent temperature regulation control system for a pot-type calcining furnace, and the system comprises a collaborative detection and cognition module which is used for calculating a dynamic thermal response spectrum according to operation data, and recognizing process stage information; the online modeling and state estimation module is used for updating an equivalent heat transfer model online by using the dynamic thermal response spectrum and estimating the core temperature of the material; and the collaborative prediction and decision module is used for calculating a basic control law by solving an optimization problem according to the process stage information, the updated model and the core temperature estimation value. According to the invention, through a collaborative closed-loop adaptive control architecture of cognition, modeling and decision-making, the process stage can be autonomously identified, the accurate control of the core temperature can be realized, and the temperature control precision of the whole process, the product quality consistency and the system adaptive capability are obviously improved.

The invention discloses an automatic control system for drying waste heat recovery. The automatic control system comprises a heat energy utilization rate calculation module, a flow control module, an airflow analysis module and an adjusting module. The heat energy utilization rate calculation module calculates the current heat energy utilization rate in combination with a preset heat transfer model to obtain the matching deviation of heat exchanger operation and dryer state; the flow control module extracts wind speed and pressure distribution data from the air duct system, analyzes the uniformity of airflow distribution by adopting an airflow simulation algorithm, and determines a deviation area and an adjustment amplitude of air volume adjustment; the airflow analysis module executes accurate adjustment through an automatic control module of an air volume adjusting valve according to the deviation area, the adjusted air speed and pressure data are obtained, and whether airflow distribution reaches a preset uniformity standard or not is judged; the adjusting module obtains flow and temperature monitoring data of the condensate water pipeline, analyzes linkage efficiency of condensate water management and waste heat recovery in combination with a heat recovery rate calculation formula of the waste heat recovery device, and determines optimization requirements.

The invention provides a simulation method and system for a solar ground source heat pump system, and relates to the technical field of solar ground source heat pump system simulation, and the method comprises the steps: firstly obtaining a soil initial temperature field, and calculating the soil temperature cumulative variation in a future time period through a one-dimensional radial simplified heat transfer model in combination with a predicted load; defining as a soil thermal imbalance risk index; according to comparison between the index and a preset threshold value, selecting an efficiency priority strategy with solar energy immediate utilization as priority or a heat balance priority strategy with soil temperature field adjustment as priority; linkage rules of all subsystems are determined according to a selected strategy, the net heat exchange amount of a geographical pipe heat exchanger and the net heat storage / release amount of a heat storage device are calculated by jointly solving a dynamic model, and then the soil temperature field and the state of the heat storage device are updated; and the simulation step length is iteratively propelled until the period is ended, and finally, the system energy efficiency coefficient, the soil heat balance degree and the time-varying curve of the key parameters are output.

The invention provides a solid-state heat pipe reactor core equivalent heat transfer calculation method and device and a storage medium, and the method comprises the steps: simplifying a basic heat transfer unit with a non-circular three-dimensional structure in a reactor core into a one-dimensional radial heat transfer model based on a volume conservation principle; constructing a three-dimensional heat transfer model of the basic heat transfer unit, and performing numerical simulation under a preset boundary condition to obtain first temperature field data serving as a reference; second temperature field data are calculated according to the one-dimensional radial heat transfer model and the original physical property parameters, the first temperature field data serve as a target, iterative correction is conducted on the original physical property parameters till the second temperature field data output by the one-dimensional radial heat transfer model and the first temperature field data meet a preset convergence criterion, and the original physical property parameters are obtained; therefore, the corrected equivalent physical property parameters are determined; and applying the corrected equivalent physical property parameters to a control equation of a full-reactor-core system-level transient analysis program, and obtaining the temperature field distribution of the full reactor core through numerical discretization and iterative solution.

The invention relates to the technical field of superconducting cables, in particular to a three-dimensional heat-flow decoupling modeling method and device for a three-phase three-axis high-temperature superconducting cable, and the method comprises the steps: constructing a simplified three-phase three-axis high-temperature superconducting cable geometric model; constructing a temperature distribution finite element model, wherein the temperature distribution finite element model comprises a decoupled fluid model and a heat transfer model; the dynamic temperature distribution of the three-phase three-axis high-temperature superconducting cable under the influence of transient factors is solved by using a temperature distribution finite element model, and the method comprises the following steps: 1) a steady state step: based on an initial boundary condition, completing basic solution of a cable temperature field and a liquid nitrogen flow velocity field under a steady state through coupling calculation of a fluid module and a heat transfer module; 2) a transient step: taking a result value of steady-state solution as an initial condition of transient solution, and finally outputting a temperature distribution simulation result through multi-step transient solution iteration and flow field and temperature field distribution.Compared with the prior art, the method has the advantages of high modeling precision, small calculation amount, fast convergence and the like.

The application discloses a kind of vacuum switch contact ablation intelligent evaluation method based on physical information fusion, belong to vacuum circuit breaker technical field.The method of the present application includes: according to the data set of vacuum switch breaking type obtained from vacuum arc experimental data, construct physical information enhanced support vector machine to predict breaking type of working condition;Vacuum arc simulation model is extracted from each working condition Contact surface energy flow density radial distribution data, and is fitted by Gaussian function;Based on the energy flow density radial distribution curve obtained by fitting, a vacuum arc simulation data set is constructed, and a physical information enhanced Gaussian process regression is constructed to predict the energy flow density of the working condition;Combining the heat transfer model to solve the radial distribution of contact surface temperature, further quantitatively evaluate the ablation degree of contact surface, and output the ablation degree level.The present application embeds the physical law of vacuum arc into machine learning model, realizes the breaking type prediction, energy flow density prediction and contact temperature rise calculation and ablation degree calculation and evaluation.

The application discloses a kind of direct pulling silicon single crystal phase transition surface heat flux solving method, first in the position of the observation window of silicon single crystal growth equipment installs temperature sensor, to measure and obtain the temperature of crystal surface measuring point, and establish silicon crystal two-dimensional axis symmetry heat conduction control equation and each boundary condition;Then the silicon crystal two-dimensional axis symmetry heat conduction control equation established is discretized, and iterative solution is solved using finite difference method, and the silicon crystal two-dimensional axis symmetry direct heat transfer model with boundary heat flux as input and measuring point temperature as output is obtained;Finally, an inverse heat transfer model capable of solving the phase transition surface heat flux is established, with the actual measured crystal surface temperature as input, and by continuously optimizing the heat flux information at the current time, the optimal estimation value of the heat flux at the current time is obtained as output. The application solves the problem that the phase transition surface heat flux cannot be directly measured and cannot be obtained in real time in the prior art.

The application relates to the technical field of semiconductor laser control, and discloses a wavelength stabilization control method of a semiconductor laser, which comprises the following steps: constructing an equivalent heat transfer model of a multi-section semiconductor laser; monitoring the radio frequency data stream duty cycle of a gain section, switching the injection path of a low-frequency pilot signal to extract a global equivalent low-frequency thermal resistance, updating a time-varying low-frequency physical RC node parameter set; combining the transient heat power of the gain section and the equivalent heat transfer model to deduce full-frequency section junction temperature observation data, and decomposing the full-frequency section junction temperature observation data into an extremely low-frequency direct current component, a medium-low-frequency fluctuation component and an extremely transient high-frequency fluctuation component; driving a thermoelectric refrigeration component according to the extremely low-frequency direct current component; generating a medium-low-frequency feedback compensation current according to the medium-low-frequency fluctuation component, combining the extremely transient high-frequency fluctuation component to generate a feedforward compensation current; and injecting the medium-low-frequency feedback compensation current and the feedforward compensation current into a grating section after being combined. The application realizes multi-frequency section decoupling control and improves wavelength stability.

The invention relates to a method for measuring the flow velocity of a medium. The method for measuring the flow velocity of the medium comprises the steps that S1, an LCSR method is adopted, a one-dimensional unsteady-state heat transfer model is established with an RTD protection sleeve as a cylinder wall, temperature field change is simulated to obtain quantitative correlation between a convective heat transfer coefficient and the flow velocity of the medium, and LCSR temperature transient response curves at different flow velocities are obtained; s2, converting the equivalent curve into an immersion method equivalent curve through nonlinear fitting, calculating response time meeting nuclear power standards, and collecting multiple groups of medium flow velocity and response time data; s3, based on the data, establishing a correlation between the two; and S4, obtaining the response time of the RTD in the nuclear reactor annular channel, and substituting the response time into the correlation formula to obtain the medium flow velocity. Accurate measurement of the micro flow velocity of the medium in the annular channel of the nuclear reactor can be realized.

The invention discloses a liquid hydrogen storage tank calculation model method based on an equivalent thermal resistance method, and relates to the technical field of low-temperature liquid hydrogen storage tanks. According to the method for constructing the multi-dimensional thermal resistance network of the liquid hydrogen storage tank, the heat transfer process of multi-field coupling inside and outside the storage tank can be accurately simulated. According to the algorithm, a complex heat transfer model is simplified into a series and parallel thermal resistance combination, the influence of geometric structures on heat transfer is considered, and the problem that a traditional calculation method is inaccurate in calculation result when facing different geometric structures is solved. According to the model, the dynamic change rule of the gas phase and the liquid phase of hydrogen along with pressure is considered, the problem that calculation deviation is caused by neglecting environmental influence in a traditional method is solved, the liquid hydrogen evaporation rate is used as a final result for evaluation, thermal resistance of all parts can be accurately marked, and the model is convenient to apply in liquid hydrogen storage tank design and high in practicability. And a designer can be assisted to quickly find out the direction needing to be optimized.

The application discloses an ultrasonic scalpel biological tissue damage degree evaluation method and system, and belongs to the technical field of damage degree evaluation. The method comprises the following steps: acquiring multi-dimensional input data for damage evaluation, constructing a biological tissue damage evaluation model, and fusing the following mechanisms in the modeling process: calculating the coupling energy flux of the ultrasonic scalpel head-biological tissue interface, analyzing target working condition characteristic indexes, obtaining a coupling energy flux deviation value, determining biological tissue damage degree evaluation first execution information, calculating biological tissue heat flux based on a two-dimensional Pennes biological heat transfer model, determining biological tissue damage degree evaluation second execution information, and obtaining an ultrasonic scalpel biological tissue damage degree evaluation result. The application can more accurately predict the tissue heat dose, necrosis depth and heat affected zone range, and improve the precision and reliability of the ultrasonic scalpel biological tissue damage degree evaluation.

The application provides a rotary kiln ring thickness prediction system and method based on a CFD simulation technology, and relates to the technical field of rotary kiln ring thickness prediction.The application simulates the overall combustion state of the interior, the diffusion state of the interior flue gas and the heat transfer condition of the rotary kiln body when the rotary kiln is in operation through the CFD simulation technology to obtain rotary kiln inner wall temperature distribution data;according to the obtained rotary kiln geometric and operating parameter information, combined with the rotary kiln body heat transfer model, a large number of simulation and calculation of multiple working conditions, multiple time points and variable parameters are carried out to establish a variable working condition rotary kiln ring prediction database, and the growth condition of the rotary kiln ring under different working conditions and at different time points is realized in real time on site.The application realizes accurate prediction of the ring thickness when the rotary kiln equipment is in operation, avoids manual kiln shutdown and improves the production capacity.

The present application relates to the technical field of metallurgical continuous casting, and provides a method for predicting the solidification structure distribution of continuous casting billets based on a solidification heat transfer model optimization, which comprises the following steps: obtaining the actual process parameters, the CET starting position and the actual distance from the CET ending position to the surface of the casting billet of a reference scheme, and obtaining the thermal physical property parameters of the steel billet through material calculation; multiplying the basic thermal conductivity coefficient by a thermal conductivity conversion coefficient to obtain an equivalent thermal conductivity coefficient, combining the reference scheme parameters, establishing a solidification heat transfer model and performing simulation, extracting the temperature gradient G and the solidification rate R in the thickness direction of the casting billet, calculating the G 2 / R curve, and determining the critical values of the CET starting and complete conversion according to the actual CET starting and ending positions; inputting the target process parameters into the solidification heat transfer model for simulation to obtain the G 2 / R curve, and predicting the CET starting and ending positions under the target scheme through the critical values. The present application can realize the accurate prediction of the CET conversion in the solidification process of the continuous casting billet, and improve the numerical simulation efficiency and the process design efficiency.

The application relates to a coaxial heat exchange well heat exchange efficiency prediction method in oil exploitation, which comprises the following steps: a coaxial heat exchange well coupling heat transfer physical model is established; according to the engineering structure and the geological conditions of a target block, a standardized heat transfer model directly used for mathematical solution is established; according to the temperature control equation in the oil pipe and the annular space, the wellbore temperature field partial differential equation is calculated by using Laplace transformation, the fluid temperature at a position of the wellbore is calculated, and the wellhead outlet temperature is obtained; the analytical solution of the formation temperature changing with the radial distance and the time in the target block is obtained, the range of the formation temperature drop in the radial direction after the coaxial heat exchange well runs for a predetermined time is evaluated; and the coaxial heat exchange well heat exchange efficiency is calculated and predicted according to the obtained wellhead outlet temperature and the known well inlet temperature. The application can solve the problems of long solution time in numerical simulation and inaccurate calculation results in the analytical solution based on the steady-state assumption, improve the oil production efficiency and reduce the energy consumption.

The application discloses a rotary kiln multi-physical phenomenon numerical simulation method based on artificial intelligence reasoning, relates to the technical field of rotary kiln multi-physical phenomenon simulation, and is based on the Euler multiphase flow equation, adds a heat transfer model, a chemical dynamics reaction model, a particle growth model, a chemical reaction model and the like, establishes a three-dimensional numerical model capable of accurately simulating the multi-physical and chemical phenomena such as the gas-solid two-phase flow movement, combustion, NOx generation, clinker calcination and particle growth in the rotary kiln, introduces a long short-term memory neural network to build an AI model, uses the AI model to predict the latter half of the working condition, accelerates the simulation speed, and realizes long-time simulation of the rotary kiln.

The application discloses a human body dressing recommendation method based on environment temperature, comprising the following steps: S1, a human body physiological heat regulation mathematical model is established, a human body active regulation and passive regulation heat transfer process under different indoor and outdoor environments is simulated, and human body heat feeling change rules under different indoor and outdoor environments are revealed; S2, a clothing porous medium heat and mass transfer mechanism and an air layer distribution rule under clothes are analyzed, a clothing and air layer heat and moisture transfer coupling model is established, a human body skin surface heat and moisture transfer boundary condition is constructed, and a human body heat and moisture transfer mechanism under different indoor and outdoor environments is revealed; S3, finite difference method is used for discrete solution of the above numerical model, and the established numerical model is verified and optimized; and S4, a clothing basic style visual database is established in combination with the human body heat transfer model. The application provides the human body dressing recommendation method based on the environment temperature, and provides more scientific decision for clothing collocation of consumers under different environments.

A kind of X-ray telescope support truss hierarchical thermal control method and system based on frequency domain analysis, the method includes establishing physical domain heat transfer model and carrying out model reduction, extracting first-order linear characteristic equation;Through the frequency domain analysis of characteristic equation, the transfer law of equivalent heat transfer coefficient G and equivalent absorption coefficient λ to different frequency band thermal disturbance is quantitatively revealed, and the design target of passive insulation and active control is determined accordingly;Based on the conclusion of frequency domain analysis, a two-stage passive suppression system composed of individual isolation and system isolation is constructed to attenuate low-frequency platform disturbance, while the upper and lower datum plates are optimized for differential passive thermal characteristics, and an active control loop operating at a specific high frequency band is configured, ultimately forming a frequency domain collaborative temperature control mechanism of passive low-frequency suppression and active high-frequency control.The present application realizes ultra-high temperature stability at low energy consumption cost in extremely complex thermal environment, effectively solving the problem that the precision and energy consumption of traditional thermal control method are difficult to be considered in through structure.

The invention discloses a ground source heat pump heat exchanger coupling performance simulation algorithm based on an unsteady-state numerical model, and the algorithm comprises the following steps: S100, designing a triple iteration algorithm, and achieving the simulation of receiving the load of a heat exchanger and calculating the on-way temperature and the pipe wall temperature of a fluid at each time step; step S200, designing a quadruple iterative algorithm to realize simulation of receiving heat pump load, calculating fluid on-way temperature and pipe wall temperature, and calculating backfill and rock-soil temperature; according to the method, the assumption of steady-state heat transfer in the hole is abandoned, and the unstable-state heat transfer models are established in fluid, pipe walls, backfill materials in the hole and rock soil areas outside the hole, so that the method is more in line with physical practical conditions and can accurately accord with measured values even in 30s-level short-time-step simulation.

The application relates to the technical field of 3D printing process simulation, in particular to a 3D printing process numerical simulation method based on a near-field dynamic method, which comprises the following steps: step one, establishing a near-field dynamic transient heat transfer model; step two, establishing a near-field dynamic living and dead material point model; step three, introducing a near-field dynamic key breaking mechanism; step four, establishing a 3D printing process simulation model based on the near-field dynamic method; step five, defining basic parameters, boundary conditions and initial conditions according to 3D printing process conditions; and step six, simulating calculation and exporting results. In the application, the accumulation of materials in the 3D printing process is regarded as a change process of a scalar field, and 0-1 is used to describe the life and death states of material points in the scalar field, so that the 3D printing process can be described physically in a quite intuitive way; in combination with an explicit calculation method, the calculation amount of each time step in the numerical simulation process is greatly simplified.

The present application relates to oil-cooled electric drive system, specifically to oil temperature estimation method, device, vehicle and storage medium of oil-cooled electric drive system, real-time acquisition oil pump speed, when oil pump speed < preset threshold, real-time acquisition motor temperature and oil temperature estimation result of last time and input the acquired motor temperature and oil temperature estimation result of last time into the first estimation model based on heat transfer model, obtain the oil temperature estimation result of oil-cooled electric drive system;When oil pump speed >= preset threshold, real-time acquisition oil pump voltage, oil pump current and oil pump speed to the second estimation model based on the working performance of oil pump and the flow resistance characteristic of oil circuit, obtain the oil temperature estimation result of oil-cooled electric drive system.It can accurately estimate the oil temperature of oil-cooled electric drive system in real time, effectively replace the role of oil temperature sensor, and then reduce the cost of oil-cooled electric drive system.

This invention relates to the field of infrared thermal imaging technology, specifically to a method and system for human body analysis based on infrared thermal images. The method includes: acquiring a sequence of infrared thermal images of the limb under test during thermal relaxation; segmenting the image sequence and constructing a topological midline of an effective contour, defining a reference direction for heat flow based on the change in cross-sectional geometric width along the midline; calculating the temperature gradient vector field, selecting regions whose gradient direction is inversely distributed to the reference direction of heat flow and containing closed isotherms as thermal topological anomaly regions; establishing a biological heat transfer model with surface temperature as the boundary condition, performing inverse solving on the thermal topological anomaly regions, and calculating the heat source parameters at the corresponding subcutaneous depth; generating a damage warning when the heat source parameters exceed a threshold. This invention, by quantifying metabolic thermal anomalies caused by inflammation within tissues, achieves precise localization and quantitative assessment of deep limb injuries, significantly improving the accuracy of human injury detection.